American journal of surgery · 2016
Use of the surgical Apgar score to enhance Veterans Affairs Surgical Quality Improvement Program surgical risk assessment in veterans undergoing major intra-abdominal surgery.
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Masi Antonio, Amodeo Salvatore, Hatzaras Ioannis, Pinna Antonio, Rosman Alan S, Cohen Steven, Saunders John K, Berman Russell, Newman Elliot, Ballantyne Garth H, Pachter Leon H, Melis Marcovalerio
Аннотация
BACKGROUND: We investigated whether the surgical Apgar score (SAS) may enhance the Veterans Affairs Surgical Quality Improvement Program (VASQIP) risk assessment for prediction of early postoperative outcomes.
METHODS: We retrospectively evaluated demographics, medical history, procedure, SAS, VASQIP assessment, and postoperative data for patients undergoing major/extensive intra-abdominal surgery at the Manhattan Veterans Affairs between October 2006 and September 2011. End points were overall morbidity and 30-, 60- , and 90-day mortality. Pearson's chi-square, ANOVA, and multivariate regression modeling were employed.
RESULTS: Six hundred twenty-nine patients were included. Apgar groups did not differ in age, sex, and race. Low SASs were associated with worse functional status, increased postoperative morbidity, and 30-, 60- , and 90-day mortality rates. SAS did not significantly enhance VASQIP prediction of postoperative outcomes, although a trend was detected. Multivariate analysis confirmed SAS as an independent predictor of morbidity and mortality.
CONCLUSIONS: SAS effectively identifies veterans at high risk for poor postoperative outcome. Additional studies are necessary to evaluate the role of SAS in enhancing VASQIP risk prediction.
METHODS: We retrospectively evaluated demographics, medical history, procedure, SAS, VASQIP assessment, and postoperative data for patients undergoing major/extensive intra-abdominal surgery at the Manhattan Veterans Affairs between October 2006 and September 2011. End points were overall morbidity and 30-, 60- , and 90-day mortality. Pearson's chi-square, ANOVA, and multivariate regression modeling were employed.
RESULTS: Six hundred twenty-nine patients were included. Apgar groups did not differ in age, sex, and race. Low SASs were associated with worse functional status, increased postoperative morbidity, and 30-, 60- , and 90-day mortality rates. SAS did not significantly enhance VASQIP prediction of postoperative outcomes, although a trend was detected. Multivariate analysis confirmed SAS as an independent predictor of morbidity and mortality.
CONCLUSIONS: SAS effectively identifies veterans at high risk for poor postoperative outcome. Additional studies are necessary to evaluate the role of SAS in enhancing VASQIP risk prediction.